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Leib­niz-Zen­trum für Agrar­land­schafts­for­schung e.V. - HR

The mission of the Leibniz Centre for Agricultural Landscape Research (ZALF) is to deliver solutions for sustainable agriculture – together with society. ZALF is a member of the Leibniz Association and is located in Müncheberg (approx. 35 minutes by regional train from Berlin-Lichtenberg). It also maintains a research station with further locations in Dedelow and Paulinenaue.

Research Assistant for Social-Ecological Statistics (f/m/d)

We are offering a 50% position starting as soon as possible and temporarily limited until 31.10.2025 at our location in Müncheberg as a: Research Assistant (m/w/d)

Working field:

As part of the working group for Land Use Decisions in the Spatial and System Context, the research assistant will be primarily engaged in statistical data analyses for the transdisciplinary project ECO2SCAPE: Co-design of ecologically and economically efficient policy instruments and measures for conserving biodiversity and ecosystem services in cultural landscapes and other projects with similar thematic foci. This is a position to support scientific processes and output, as well as to contribute to an exchange with practitioners.

  • analyzing interview, biodiversity and ecosystem service data
  • extracting spatial land use data from land use maps (GIS or R)
  • social-ecological network analysis
  • structural equation modelling
  • other multivariate analyses
  • data and code (R) management
  • writing up steps in statistical methods and summarizing results for scientific publications


  • you value communication as part of a working environment and work processes
  • you are very comfortable in the R environment with packages for spatial and social-ecological analyses
  • you love doing statistics, applying different types of models to different types of data, and are excited to experiment with social and ecological data
  • you also know when to stop analyzing data and start interpreting results. In other words, you know how to manage your time, data, and code to get analyses done
  • you have experience with biodiversity conservation, agriculture, food, landscape ecology, and social values – statistically and in real life
  • you are fluent in English and have some basic knowledge of German

What we offer:

  • an openness to develop and expand on content listed here
  • support in developing your scientific profile, if desired (e.g. involving you as co-author or lead author)
  • an interdisciplinary working environment that encourages independence.
  • a working group that values flat hierarchies.
  • classification according to the collective agreement of the federal states (TV-L) up to 13 (including special annual payment)
  • a collegial and open-minded working atmosphere in a dynamic research institution in a beautiful setting
  • a company ticket to facilitate commuting between Berlin and Müncheberg, if necessary

How to apply:

Women are particularly encouraged to apply. Applications from severely disabled persons with equal qualifications are favored. It is generally possible to work in the position on a part-time basis. Please send your application preferably online (see button online application below). For e-mail applications, create a PDF document (one PDF file, max. 5 MB; packed PDF documents, archive files like zip, rar etc. Word documents cannot be processed and therefore cannot be considered!) with the usual documents, in particular CV, proof of qualification and certificates, stating the reference number 57-2022 until June 20, 2023 to (see button e-mail application below).

If you have any questions, please do not hesitate to contact us: Maria Kernecker, Tel. +49 (0) 33432/82-448, or via email:

For cost reasons, application documents or extensive publications can only be returned if an adequately stamped envelope is attached.

If you apply, we collect and process your personal data in accordance with Articles 5 and 6 of the EU GDPR only for the processing of your application and for purposes that result from possible future employment with the ZALF. Your data will be deleted after six months.